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- Tasks: Create and edit engaging linguistic content for AI training and evaluation.
- Company: Join a leading data engineering company at the forefront of AI technology.
- Benefits: Flexible part-time hours, competitive pay, and opportunities for professional growth.
- Why this job: Shape the future of AI with your passion for language and technology.
- Qualifications: Strong background in linguistics and excellent writing skills required.
- Other info: Collaborative environment with a global team and exciting projects.
The predicted salary is between 24000 - 36000 £ per year.
Innodata (NASDAQ: INOD) is a leading data engineering company. With more than 2,000 customers and operations in 13 cities around the world, we are an AI technology solutions provider for major technology companies and other industries including financial services, insurance, technology, law, and medicine.
By combining advanced machine learning and artificial intelligence (ML/AI) technologies, a global workforce of subject matter experts, and a high-security infrastructure, we help advance the capabilities of AI. Innodata offers a powerful combination of both digital data solutions and easy-to-use, high-quality platforms.
Our global workforce includes over 5,000 employees in the United States, Canada, United Kingdom, the Philippines, India, Sri Lanka, Israel and Germany.
We are seeking a highly analytical and detail-oriented linguist to support AI training initiatives and linguistic content creation. This role is ideal for someone with a strong academic background in linguistics (syntax, semantics, pragmatics, morphology, phonology, sociolinguistics, etc.) and a passion for language, technology, and clear communication. You will play a crucial role in shaping the capabilities of large language models (LLMs) and NLP-based systems through high-quality linguistic data curation, annotation, and evaluation.
Key Responsibilities- Create or edit linguistically rich content including grammar guides, syntactic analyses, usage explanations, or examples for NLP pipelines.
- Identify and resolve issues related to ambiguity, bias, and grammaticality.
- Perform quality assurance (QA) on model outputs for fluency, tone, factual accuracy, and language appropriateness.
- Annotate linguistic datasets with syntactic, semantic, or pragmatic labels.
- Support internal teams by conducting linguistic research and summarising findings.
- Apply linguistic knowledge to evaluate model behaviour, error patterns, and generalisation issues.
- Deep understanding of linguistic theory and language structure.
- Experience with one or more of the following is a plus: computational linguistics, corpus analysis, language data annotation, LLM training.
- Strong writing, editing, and communication skills.
Action Required: XConnect Registration. You will receive an invitation to our internal job platform, XConnect. Please take a few minutes to register and complete your profile. All project onboarding, communication, and documentation are managed through this platform.
Seniority level: Associate
Employment type: Part-time
Job function: Writing/Editing
Industries: IT Services and IT Consulting
Linguistics Expert employer: Innodata Inc.
Contact Detail:
Innodata Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Linguistics Expert
✨Tip Number 1
Network like a pro! Reach out to fellow linguists or professionals in AI and tech. Join relevant groups on LinkedIn or attend local meetups. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your linguistic work, whether it's content you've written or projects you've contributed to. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common questions related to linguistics and AI. Practice explaining complex concepts in simple terms, as communication is key in this role. We want to see how you can make language tech accessible!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you're serious about joining our team at Innodata. Let's get you on board!
We think you need these skills to ace Linguistics Expert
Some tips for your application 🫡
Show Off Your Linguistic Skills: Make sure to highlight your academic background in linguistics and any relevant experience you have. We want to see your passion for language and technology shine through in your application!
Tailor Your Content: When writing your application, tailor your content to reflect the key responsibilities mentioned in the job description. We love seeing how you can create or edit linguistically rich content that aligns with our needs.
Be Clear and Concise: Your writing should be clear and to the point. We appreciate strong writing and editing skills, so make sure your application is free of ambiguity and showcases your ability to communicate effectively.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way to ensure your application gets to us directly. Plus, it’s super easy to register and complete your profile on XConnect.
How to prepare for a job interview at Innodata Inc.
✨Know Your Linguistics Inside Out
Make sure you brush up on your linguistic theories and concepts. Be ready to discuss syntax, semantics, and other areas in detail. The more confident you are in your knowledge, the better you'll impress the interviewers.
✨Showcase Your Writing Skills
Prepare samples of your writing that highlight your ability to create clear and engaging content. Whether it's grammar guides or syntactic analyses, having tangible examples will demonstrate your expertise and passion for language.
✨Familiarise Yourself with AI and NLP
Since this role involves AI training, it’s crucial to understand how large language models work. Brush up on your knowledge of NLP systems and be prepared to discuss how your linguistic skills can enhance these technologies.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company's approach to linguistics and AI. This shows your genuine interest in the role and helps you gauge if it's the right fit for you.